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Paul [167]
4 years ago
7

A box contains 12 light bulbs, of which 5 are defective. All bulbs look alike and have equal

Mathematics
2 answers:
blagie [28]4 years ago
7 0
Selecting at least one defective means you could have both defective or one defective with one not defective.  We will find the probability of each and add them together..

Keep in mind we will draw two lights one at a time, replacing the first draw.  Let's calculate the total outcomes possible:  12 possibilities on the first draw and 12 possibilities on the second so 12(12) = 144 total outcomes possible.

P(2 defective) = \frac{5}{12} ( \frac{5}{12} ) =  \frac{25}{144}
P(1 defective and one non defective) = \frac{5}{12} ( \frac{7}{12} )= \frac{35}{144}  In this case first draw not defective is the same as the second not defective because all we are looking for is to have one defective.
P(1 defective w/1 not, or 2 defective) = \frac{35}{144} +  \frac{25}{144} = \frac{60}{144} or about 42%


Flauer [41]4 years ago
4 0
Answer: 95/144


Explanation:

There are 12 light bulbs.
There are 5 defective bulbs.
There are 7 not defective bulbs.

P (at least one defective) = first one defective or second one defective or both defective.

P (at least one defective) = (5/12)(7/12) + (7/12)(5/12) + (5/12)(5/12) = 95/144
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what is the best point estimate for the population's standard deviation if the sample variance is 49.7? round your answer to one
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Using the relation between standard deviation and variance it is concluded that the standard deviation for the population for the given variance is 7.1

<h3>What is the relation between standard deviation and sample variance? </h3>

In statistics, the two most crucial metrics are variance and standard deviation. While the variance is a measurement of how data points vary from the mean, standard deviation is a measure of the distribution of statistical data.

The square root of the variance yields the standard deviation, i.e.

Standard deviation = \sqrt{variance

Given that sample, the variance is 49.7 and we have to calculate the standard deviation.

Standard deviation (σ) = \sqrt{variance

= \sqrt{49.7}

= 7.0498

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Hence, the standard deviation for the population for the given variance is 7.1

To know more about the relation between standard deviation and variance, visit:

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